4D spatiotemporal landscape of mitochondrial phenotypes across cellular states unlocked through representation learning.
PubMed / NCBI E-utilities · Indexed academic record · Source published: Thu Sep 10 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · Indexed here: Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
Saved source excerpt
Mitochondria are four-dimensional (4D: x, y, z, and time) organelles essential for cellular function. Characterizing their 4D phenotypic landscape across diverse cellular states requires both 4D imaging and analytical frameworks. We present MitoSpace, a self-supervised deep learning model trained without labels on terabytes of single-cell lattice light-sheet microscopy data of mitochondria under m
This is a cited excerpt from the source. Read the original link for the complete text. Automated indexing and topic classification do not constitute fact verification.